About Photovoltaic inverter detection circuit voltage
For inverters’ open-circuit fault detection, an improvement of Dempster–Shafer (D–S) evidence theory is achieved by the mixture of Back-Propagation Neural Network (BPNN) with Classification And Regression Tree (CART) algorithms. The load current signals are processed using Wavelet Transforms (WT).
For inverters’ open-circuit fault detection, an improvement of Dempster–Shafer (D–S) evidence theory is achieved by the mixture of Back-Propagation Neural Network (BPNN) with Classification And Regression Tree (CART) algorithms. The load current signals are processed using Wavelet Transforms (WT).
1. Power OFF the inverter. 2. Check all PV strings for the correct open-circuit voltage: Inspect all connections and cables between the Power Optimizers in the strings. Verify that they are connected properly by firmly pushing and pulling the plugs and verifying that the connectors are locked.
To verify the performance and availability of arc-fault circuit interrupter (AFCI), Huawei entrusted the China General Certification Center (CGC) to complete comprehensive evaluation, with its results showing that Huawei inverters with the AFCI function meet the requirements of UL 1699B-2018 "Safety Standard for PV DC Arc Fault Circuit Protection.".
In [99] the authors define new current and voltage indicators (named: NRc and NRv) as well as the thresholds for both parameters to identify PV string and inverter failures. Investigated faults are: faulty string (one string in open circuit) and bypassed module (one PVM bypassed in one string).
The parameter under consideration for anomaly detection is voltage at inverter terminals. Many features like signal power, energy etc. are extracted using discrete wavelet transform (DWT). These features are then fed as input to the ANN having input, output and one hidden layer for fault localization.
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